Observation Collection Instance – Django REST framework

Get a list of Collections objects. Collections have a 1:1 mapping with Observations.

### Available end points:

- `/observationcollections/` - Will list all Collections in the database
- `/observationcollections.json` - Will return all Collections in json format
- `/observationcollections/<object_id>/` - Returns Collections object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `uuid`
- `title`
- `keywords`
- `discoveryKeywords`
- `publicationState`

### How to use filters:

- `/observationcollections/?uuid=ab4ca8d019d148f78afba1cd20872bdd`

- `/observationcollections.json?publicationState=citable`

GET /api/v2/observationcollections/13060/?format=api

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 13060,
    "uuid": "38fd6c7841d84a6686ca663fcdd61a3f",
    "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): Repeatable Kinematic Dataset Collection from Snowdonia",
    "abstract": "This dataset collection holds a repeatable kinematic dataset taken from Global Navigation Satellite Systems (GNSS) stations on moving platforms at the Snowdon Mountain Railway (SMR). The datasets include profiles of 950m of the lower atmosphere over a 50 day period in 2011. \r\n\r\nThere are three different locations used in the dataset as it was mounted on a train of the Snowdon Mountain Railway (SNTR) as it travelled up and down the mountain, with two static reference stations at the base of the railway at Llanberis (SNLB) and at the summit (SNSU). \r\n\r\nThree instruments were used to collect the data including; Paroscientific 745, Paroscientific Met 4 and Leica GS10 GNSS receivers. Respectively measuring pressure, pressure/temperature, dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements. ",
    "keywords": "GPS, GLONASS, pressure, temperature, snowdon, snowdon mountain railway, snowdon-gnss",
    "discoveryKeywords": [
        1138,
        1142
    ],
    "publicationState": "citable",
    "dataPublishedTime": "2015-09-22T08:51:17",
    "doiPublishedTime": "2015-09-22T23:00:00",
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/13064/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/13065/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/13066/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8523/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8525/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50180/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50043/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50074/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50082/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50179/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50178/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50181/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50075/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50076/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50233/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/50042/?format=api"
    ]
}